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Restorative Data Science and the Transformative Power of Absence

Year: 2026

Type: article

Abstract: This conversation with Catherine D’Ignazio explores the potential of “restorative” and “transformative data science” as practices oriented toward justice, care, and the repair of systemic harm. Drawing on the experiences of activists documenting feminicide, the dialogue investigates how absence can be understood not as a lack but as a generative space for new forms of knowledge and action. D’Ignazio highlights the significance of emotional and relational labor, the rejection of automation when it undermines witnessing, and the creation of data networks grounded in reciprocity and autonomy. The interview shows how design, through a situated and critical stance, can help to envision more equitable futures by fostering practices of care, memory, and participation.

Source: DIID

DOI: 10.30682/diid8725b

Authors: Catherine D'Ignazio, Simona Colitti, Paola Pierri

Institutions: Massachusetts Institute of Technology, University of Bologna

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDGs: Reduced inequalities, Gender equality, Peace, justice, and strong institutions

Open Access status: diamond

OpenAlex ID: W7128424537

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